Packet Scheduling Based on Learning in the Next Generation Internet Architectures

Authors:
Alencar Melo Jr.;Juan Manuel Adán Coello
Affiliations:
-;-
Venue:
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
Year:
2000

Citing 8
Cited 1

Supporting real-time applications in an Integrated Services Packet Network: architecture and mechanism

SIGCOMM '92 Conference proceedings on Communications architectures & protocols
C4.5: programs for machine learning

C4.5: programs for machine learning
Fuzzy systems: an overview

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Abstract

With multimedia applications, the Internet traffic increased a lot in volume, but also suffered major alterations in its nature, requesting other network services besides the current best-effort service. To satisfy this new situation, network architectures QoS-oriented such as the Integrated Services and Differentiated Services architectures have been discussed in several IETF groups. In this work, we propose a methodology to implement packet schedulers, an element of fundamental importance to the new services, based on fuzzy control. The main innovation of this proposal is the employment of rule induction algorithms as C4.5 to infer the fuzzy controller's main rules. The approach has several advantages over the current ones, especially flexibility, efficiency and the possibility of being applied in several environments.